Recommendations or resources for neural network/deep learning for time series application?
I'm currently working with Temporal Convolution Networks (TCNs) for making predictions with time series data (link to article here: https://medium.com/@raushan2807/temporal-convolutional-networks-bfea16e6d7d2).  These types of networks, like other types of convolutional networks for time series, use a dilated convolution operation, which, unlike the standard convolution in these networks, is a causal operation that preserves the causality of the time series input.
I've also seen CNNs used in Temporal Differencing applications, but that may be more useful in the context of video processing rather than time series analysis.